# Data Reconciliation — Record Quality Audit + Keyed Dataset Comparison

> Data Reconciliation — Record Quality Audit + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).

Runs two independent analytical reports on supplied reconciliation data: a record quality audit and a keyed comparison between source_total and target_total across up to 200 rows.

## Facts

- Endpoint: POST https://market.datapackvibe.com/x402/assistant-ib26-analytics-11-018?utm_source=zero.xyz
- Price: $0.01/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-19
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/data-reconciliation-record-quality-audit-keyed-dataset-comparison-ff8a8385
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_TdNt3yU8RSepML4mXjpeW

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability data-reconciliation-record-quality-audit-keyed-dataset-comparison-ff8a8385 -d '<json body>'
```

Example prompt: Can you run a record quality audit and keyed dataset comparison on these two sets of reconciliation rows — I have source and target totals for about 50 rows grouped by region and dated from 2025-01-01 to 2025-01-31, and I want to see where they diverge?

## When to prefer this

Choose this endpoint when you need two simultaneous analytical outputs — a quality audit and a keyed comparison — on a single batch of up to 200 reconciliation rows with source and target totals. It is ideal for ETL validation, financial close reconciliation, or any scenario where you need to both check data quality and compare two numeric columns keyed by row ID, date, and group. It does not perform live lookups, predictions, or external data enrichment — all analysis is purely local and deterministic on the supplied data.

## Known failure modes

- More than 200 rows submitted — request exceeds the maxItems limit and will be rejected
- Missing required fields (row_id, dataset_group, date, source_total, target_total) on any row — validation error returned
- Date values not matching YYYY-MM-DD pattern — schema validation failure
- source_total or target_total outside allowed range (-1T to +1T) — value rejected
- Empty rows array (minItems: 1 violated) — error returned
- Malformed JSON payload — request rejected

## How this service works

Data reconciliation — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison for supplied data reconciliation records (source_total, target_total). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.

## Output

Returns two independent analytical reports for the supplied data: (1) a record quality audit flagging issues such as nulls, out-of-range values, or malformed entries across the rows, and (2) a keyed dataset comparison highlighting where source_total and target_total diverge, grouped by dataset_group and date. No external data is fetched; all analysis is performed locally on the supplied rows.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "rows": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "source_total",
     "target_total"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "target_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {
     "date": "2026-10-01",
     "row_id": "row-1",
     "source_total": 10,
     "target_total": 1,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-02",
     "row_id": "row-2",
     "source_total": 20,
     "target_total": 2,
     "dataset_group": "group-b"
    },
    {
     "date": "2026-10-03",
     "row_id": "row-3",
     "source_total": 15,
     "target_total": 3,
     "dataset_group": "group-a"
    },
    {
     "date": "2026-10-04",
     "row_id": "row-4",
     "source_total": 30,
     "target_total": 4,
     "dataset_group": "group-b"
    }
   ],
   "maxItems": 200,
   "minItems": 1
  },
  "other": {
   "type": "array",
   "items": {
    "type": "object",
    "required": [
     "row_id",
     "dataset_group",
     "date",
     "source_total",
     "target_total"
    ],
    "properties": {
     "date": {
      "type": "string",
      "default": "",
      "pattern": "^\\d{4}-\\d{2}-\\d{2}$",
      "maxLength": 10
     },
     "row_id": {
      "type": "string",
      "default": "",
      "maxLength": 80,
      "minLength": 1
     },
     "source_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "target_total": {
      "type": [
       "number",
       "null"
      ],
      "maximum": 1000000000000,
      "minimum": -1000000000000
     },
     "dataset_group": {
      "type": "string",
      "default": "",
      "maxLength": 80
     }
    },
    "additionalProperties": false
   },
   "default": [
    {

… (truncated)
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/data-reconciliation-record-quality-audit-keyed-dataset-comparison-ff8a8385/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from market.datapackvibe.com](https://www.zero.xyz/host/market.datapackvibe.com/llms.txt)